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» On Formal Modeling of Agent Computations
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CHI
1997
ACM
15 years 11 months ago
How to Personalize the Web
Agents can personalize otherwise impersonal computational systems. The World Wide Web presents the same appearance to every user regardless of that user’s past activity. Web Bro...
Rob Barrett, Paul P. Maglio, Daniel C. Kellem
AISADM
2005
Springer
16 years 8 days ago
Execution Engine of Meta-learning System for KDD in Multi-agent Environment
Meta-learning system for KDD is an open and evolving platform for efficient testing and intelligent recommendation of data mining process. Metalearning is adopted to automate the s...
Ping Luo, Qing He, Rui Huang, Fen Lin, Zhongzhi Sh...
167
Voted
ATAL
2008
Springer
15 years 8 months ago
A heads-up no-limit Texas Hold'em poker player: discretized betting models and automatically generated equilibrium-finding progr
We present Tartanian, a game theory-based player for headsup no-limit Texas Hold'em poker. Tartanian is built from three components. First, to deal with the virtually infinit...
Andrew Gilpin, Tuomas Sandholm, Troels Bjerre S&os...
IJCAI
2001
15 years 8 months ago
R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning
R-max is a very simple model-based reinforcement learning algorithm which can attain near-optimal average reward in polynomial time. In R-max, the agent always maintains a complet...
Ronen I. Brafman, Moshe Tennenholtz
CAMP
2005
IEEE
16 years 11 days ago
Prey-Predator Strategies in a Multiagent System
— This paper describes the prey-predator multiagent hich can be considered as an abstraction of more complex real-world models. Both the prey and the predators are considered as ...
B. Lenzitti, Domenico Tegolo, Cesare Valenti